Ariful Azad

Orcid: 0000-0003-1332-8630

According to our database1, Ariful Azad authored at least 81 papers between 2010 and 2024.

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Bibliography

2024
A Scalable Method for Readable Tree Layouts.
IEEE Trans. Vis. Comput. Graph., February, 2024

Exabiome: Advancing Microbial Science through Exascale Computing.
Comput. Sci. Eng., 2024

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication.
CoRR, 2024

Parallel Algorithms for Median Consensus Clustering in Complex Networks.
CoRR, 2024

GNNShap: Fast and Accurate GNN Explanations using Shapley Values.
CoRR, 2024

iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GNNShap: Scalable and Accurate GNN Explanation using Shapley Values.
Proceedings of the ACM on Web Conference 2024, 2024

Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Scalable Node Embedding Algorithms Using Distributed Sparse Matrix Operations.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022
Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems.
IEEE Trans. Parallel Distributed Syst., 2022

Scalable force-directed graph representation learning and visualization.
Knowl. Inf. Syst., 2022

Inductive predictions of hydrologic events using a Long Short-Term Memory network and the Soil and Water Assessment Tool.
Environ. Model. Softw., 2022

Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy.
CoRR, 2022

Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks.
CoRR, 2022

MarkovGNN: Graph Neural Networks on Markov Diffusion.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Extreme-Scale Many-against-Many Protein Similarity Search.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Parallel Algorithms for Adding a Collection of Sparse Matrices.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
IEEE Trans. Big Data, 2021

Contrastive learning improves critical event prediction in COVID-19 patients.
Patterns, 2021

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications.
Int. J. High Perform. Comput. Appl., 2021

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.
Data Intell., 2021

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods.
CoRR, 2021

Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed.
CoRR, 2021

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.
CoRR, 2021

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.
CoRR, 2021

FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Incremental Clustering Algorithms for Massive Dynamic Graphs.
Proceedings of the 2021 International Conference on Data Mining, 2021

GNNfam: utilizing sparsity in protein family predictions using graph neural networks.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs.
SIAM J. Sci. Comput., 2020

Parallel algorithms for finding connected components using linear algebra.
J. Parallel Distributed Comput., 2020

SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting.
CoRR, 2020

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN.
CoRR, 2020

The Parallelism Motifs of Genomic Data Analysis.
CoRR, 2020

Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking.
Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Distributed many-to-many protein sequence alignment using sparse matrices.
Proceedings of the International Conference for High Performance Computing, 2020

FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence.
Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

Optimizing High Performance Markov Clustering for Pre-Exascale Architectures.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020


Force2Vec: Parallel force-directed graph embedding.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors.
Parallel Comput., 2019

A GraphBLAS Approach for Subgraph Counting.
CoRR, 2019

LACC: A Linear-Algebraic Algorithm for Finding Connected Components in Distributed Memory.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Evaluating the Community Structures from Network Images Using Neural Networks.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching.
CoRR, 2018

Integrated Model, Batch, and Domain Parallelism in Training Neural Networks.
Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting.
IEEE Trans. Parallel Distributed Syst., 2017

Integrated Model and Data Parallelism in Training Neural Networks.
CoRR, 2017

Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning.
CoRR, 2017

The Reverse Cuthill-McKee Algorithm in Distributed-Memory.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Towards a GraphBLAS Library in Chapel.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication.
SIAM J. Sci. Comput., 2016

A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs.
Parallel Comput., 2016

flowVS: channel-specific variance stabilization in flow cytometry.
BMC Bioinform., 2016

Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015
An Algorithmic Pipeline for Analyzing Multi-parametric Flow Cytometry Data.
CoRR, 2015

Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures.
Computer, 2015

A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Parallel Triangle Counting and Enumeration Using Matrix Algebra.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Distributed-Memory Algorithms for Maximal Cardinality Matching Using Matrix Algebra.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
On parallel push-relabel based algorithms for bipartite maximum matching.
Parallel Comput., 2014

Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates.
CoRR, 2014

2013
Classifying Immunophenotypes With Templates From Flow Cytometry.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry.
BMC Bioinform., 2012

Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2011
Computing maximum matching in parallel on bipartite graphs: worth the effort?
Proceedings of the first workshop on Irregular applications: architectures and algorithm, 2011

2010
Identifying Rare Cell Populations in Comparative Flow Cytometry.
Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010


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